Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122234AB26732B8B843DB91DEE7382956B2C5489DF8C74454F5C95ACE23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:am+EsZx8/G8q4DDawaM5BxwzM5BcwzqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvlAn:am+EsZ/8tDDawaM5BxwzM5BcweN2/y9p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ffb8a9a1819087c7 |
|
VISUAL
aHash
|
ff80a080808080a0 |
|
VISUAL
dHash
|
716165754d6d656d |
|
VISUAL
wHash
|
ff81bd81a1a1b1b1 |
|
VISUAL
colorHash
|
19007000000 |
|
VISUAL
cropResistant
|
716165754d6d656d,33c0c4d4c4ccc4c4 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 18 techniques to evade detection by security scanners and make reverse engineering more difficult.